Factor Analysis (R-Technique) of Ipsatized Data May Be Misleading
Bibliographic Data
| ID | 13655202 |
|---|---|
| Authors | Todd M Davis (University of Alabama, corresponding author), Brad S Chissom (University of Alabama), BRAD CHISSOM (University of Alabama) |
| Year | 1981 |
| Volume | 49 |
| Issue | 2 |
| Pages | 643-647 |
| Publication date | 1981-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.1981.49.2.643 |
| OpenAlex | W2046782710 |
| Language | EN |
| References cited | 6 |
Despite cautions in the literature against factor analyzing (R-technique) non-independent or ipsative data, several such studies have reported apparently meaningful results. This paper examines the results of factor analysis for six different sets of contrived data with known properties. Comparisons between the known factor structure and obtained results suggest that the number of factors initially extracted will be significantly under- or overestimated and that less than 60% of factored items will be correctly loaded. These findings provide empirical support for rational notes of caution in the use of factor analytic procedures as applied to ipsative data
Econometrics · Factor (programming language · Factor analysis · Statistics · Advanced Statistical Modeling Techniques · Advanced Text Analysis Techniques · Computer Science · Mathematics · Multi-Criteria Decision Making · Psychology
A Factor Dimension Comparison of Normative and Ipsative Measurements
The Invariance Problem in Factor Analysis
Comparison Of Oblique And Orthogonal Simple Structure Solutions For Personality And Interest Factors
Note on the Intercorrelation of Edwards' Personal Preference Schedule Variables
When not to factor analyze
| Citation velocity | historical |
|---|---|
| Highly cited | No |